Speed Control of Induction Motor by V/F Method (original) (raw)

Development of Fuzzy Logic Based V/F Speed Control System for Induction Motor

IAEME PUBLICATION, 2013

This work presents a new speed control system for single phase induction motor using fuzzy logic.Induction motor is a heart of automation industry because of its wide use and features like simple and robust structure. There for speed control of induction motor is more important parameter to attainfull efficiency.In this proposed system speed is controlled by keeping constant voltage frequency ratio of the supply source of induction motor.The Fuzzy Logic Controller shows good performance compared to the conventional speed controller. Because Fuzzy logic control method has the ability to interact with system nonlinearity and its performance is less affected by temperature or other parameters. Here the proposed FLC model is developed using fuzzy logic tool box of MATLAB.

Speed Control of Induction Motor by V / F Method Using Fuzzy Technique Pallavi

2019

Most of the induction motor drives are based on keeping constant voltage/frequency (v/f) ratio in order to maintain a constant flux in the machine. In this paper method uses a fuzzy logic through pic 16f15355 for high performance of single phase induction motor. The work involves implementation of an closed loop control scheme for an induction motor.

Speed Control of Single Phase Induction Motor Using Fuzzy Logic Controller

American Scientific Research Journal for Engineering, Technology, and Sciences, 2016

The Proportional Integral (PI) controller of A.C drives are commonly employed in industries and many other applications, because of its simplicity, but it does not give high degree of speed control of single phase induction motor. The intelligent control systems become a powerful tool for control nonlinear system in present time. This paper proposes the Proportional Integral (PI) controller designed based on fuzzy logic system as an intelligent speed controller of single phase induction motor. In addition, The mathematical modeling and simulation single phase induction motor capacitor run type as asymmetrical two phase induction motor is represented too Also, two phase four leg voltage source PWM inverter with Sinusoidal Pulse Width Modulation (SPWM) switching technique is demonstrated and simulated. The overall system for the proportional-integral (PI) controller designed based on fuzzy logic system is simulated using MATLAB/Simulink environment. The results shows high response o...

Speed Control of Induction Motor using Fuzzy Logic Approach

This thesis presents a methodology for implementation of a rule-based fuzzy logic controllerapplied to a closed loop Volts/Hz induction motor speed control. The Induction motor ismodelled using a dq axis theory. The designed Fuzzy Logic Controller's performance is weighed against with that of a PI controller. The pros of the Fuzzy Logic Controllers (FLCs) over the conventional controllers are: (i) they are economically advantageous to develop, (ii) a wider range of operating conditions c an be covered using FLCs, and (iii) they are easier to adapt in terms of natural language. Another advantage is that, an initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For V/f speed control of the induction motor, a reference speed has been used and the control architecture includes some rules. These rules portray a nonchalant relationship between two inputs and an output, all of which are nothing but normalized voltages. These are:  The input speed error denoted by Error (e).  The input derivative of speed error denoted by Change of error (Δe), and  The output frequency denoted by Change of Control (). The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and th e rules have been defined using the FIS editor given in MATLAB. Based on the rules the surface view of the control has been recorded. The system has been simulated in MATLAB/SIMULINK® and the results have been attached. The results obtained by using a conventional PI controller and the designed Fuzzy Logic Controller has been studied and compared. The controller has then been tuned by trial and error method and simulations have been run using the tuned controller. Keywords: V/f induction motor speed control, dq axis theory, Fuzzy Logic controller, Mamdani Architecture _______________________________________________________________________________________________________ I. INTRO DUCTIO N The use of induction motors has increased tremendously since the day of its invention. They are being used as actuators in various industrial processes, robotics, house appliances (generally single phase) and other similar applications. The reason for its day by day increasing popularity can be primarily attributed to its robust construction, simplicity in design and cost effect iveness. These have also proved to be more reliable than DC motors. Apart from these advantages, they have some unfavorable features like their time varying and non-linear dynamics. Speed control is one of the various application imposed constraints for the choice of a motor. Hence, in the last few years it has been studied by many, and various methods for the same have been developed. An insight into the same has been provided in Chapter 2. Out of all the speed control mechanisms, the Volts/Hertz control scheme is very popular because it provides a wide range of speed control with good running and transient performance. This scheme has been thoroughly explained in Chapter 2. This control mechanism is referred to as scalar control mode. Here both the input and output commands are speed, unlike the Vector control mode where it is torque/flux and reference current, respectively. Even though vector control drives provide excellent performance in terms of dynamic speed regulation, implementation of the same is tedious owing to on-line coordinate transformations that convert line currents into two axis representation and vice versa A. Induction Motor: The induction motor finds its place amongst more than 85% of industrial motors as well as in its single-phase form in various domestic usages. Markedly a constant-speed motor with shunt characteristic, speed drops only by a few per cent from no-load to full load. Hence in the past, induction motors have been used primarily in constant speed applications. Traditional methodologies employing speed control have either been high-priced or very inefficient, unlike the dc motor. Nonetheless, the presence of commutate and brushes in the latter, which require recurrent maintenance make dc motor drives improper for use in hazardous and polluted environments. On the other hand, owing to the simple, rugged, cheaper, smaller and subsequently light er build of induction motor drives (particularly squirrel-cage type), they are designed for fans, blowers, cranes, traction, conveyers, etc. in spite of finding stiff competition from dc drives for such applications .

Space vector pulse width modulation based speed control of Induction motor using Fuzzy PI controller

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This paper presents design and implements a voltage source inverter type space vector pulse width modulation (SVPWM) for control a speed of induction motor. In recent years, the field oriented control of induction motor drive is widely used in high performance drive system.It is due to its unique characteristics like high efficiency, good power factor and extremely rugged .This scheme leads to be able to adjust the speed of the motor by control the frequency and amplitude of the stator voltage, the ratio of stator voltage to frequency should be kept constant.The fuzzy logic controller is also introduced to the system for keeping the motor speed to be constant when the load varies.

Embedded Based Compact Fuzzy System to Speed Control of Single Phase Induction Motor

Abstract: In this paper fuzzy logic techniques is used to control the speed of a single-phase induction motor. The implementation of hardware is based on a standard ARM controller, without any additional components for the fuzzy logic controller for controlling speed of induction motor keep constant the voltage and frequency ratio of the induction motor supply source. In this speed controlling the reference speed varies from 500rpm to 1000rpm. The response of the fuzzy controller is depending upon variation of load and speed. This fuzzy control system is built on ARM processor, which uses speed error and speed error variation to change both fundamental voltage amplitude and frequency of a sinusoidal pulse-width modulation. Keywords: ARM processor, fuzzy control, , induction motor.

Comparative Study of Speed Control of Induction Motor Using PI and Fuzzy Logic Controller

This paper proposes the idea of using " Fuzzy Logic Technique " in estimating motor speed and controlling it for Induction motor. The Induction motor is modeled using dq axis theory. The main objective of this project is to develop a fuzzy logic based controller to control the speed of the induction motor, employing the scalar control model. The voltage and frequency input to the induction motor are to be controlled in order to obtain the desired speed response. The designed Fuzzy Logic Controllers performance is also weighed against with that of a PI controller. For V/f speed control of the induction motor, a reference speed has been set and the control architecture includes a rule base of 49 rules. These rules portray a nonchalant relationship between two inputs i.e. speed error (e), change in speed error (∆e) and an output i.e change ofcontrol (ω sl)

Speed Control of Induction Motor using Fuzzy Logic

— In this paper, speed control of induction motor using fuzzy logic controller is proposed. Speed control of induction motor takes place by, Direct torque control(DTC) method i.e. by directly controlling torque. Here we have used Voltage/Frequency speed control method of induction motor. The fuzzy logic controller (FLC) solves the problem of non linearity's and parameter variation of induction motor. Unlike the conventional standard controllers, the proposed controller has much less computationally demanding. Direct torque control scheme of induction motor is firstly used. Then, the specified rule and their membership functions of proposed fuzzy logic system will be represented. The performance of a controller is evaluated under various operating conditions. A simplified FLC with relatively fewer rules will be implemented for perfect speed control.

Comparative Analysis between PI and Fuzzy Controller for Speed Control of Induction Motor

This paper portrays the way of implementing fuzzy logic in improving the performance of induction motor drive. Here a rule-based fuzzy logic based controller is designed and simulated with the help of mat lab. A pi controller is also designed in Simulink. Then performances of both the controller are simulated and compared. For controlling speed here scalar control method is employed, where magnitude of the stator voltage and frequency is changed proportionately. For this v/f control, a reference speed is chosen and controller is designed as such, it can provide that desired (reference) speed in case of frequent load changes. The major merit of fuzzy controller over pi controller is use of linguistic variable and user defined rule base that makes it possible to incorporate human intelligence in the controller. Fuzzy logic based controller also has the capability to control both linear and nonlinear system.

IJERT-Speed Control of Induction Motor Using Fuzzy Logic Approach

International Journal of Engineering Research and Technology (IJERT), 2013

https://www.ijert.org/speed-control-of-induction-motor-using-fuzzy-logic-approach https://www.ijert.org/research/speed-control-of-induction-motor-using-fuzzy-logic-approach-IJERTV2IS80351.pdf This paper deals with the stabilization of the induction motor speed very quickly. The Induction motor is modeled using a dq axis theory. The designed Fuzzy Logic Controller's performance is weighed against with that of a PI controller. This paper also presents a methodology for implementation of a rule-based fuzzy logic controller applied to a closed loop Volts/Hz induction motor speed control. For V/f speed control of the induction motor, a reference speed has been used and the control architecture includes some rules. These rules portray a nonchalant relationship between two inputs and an output, all of which are nothing but normalized voltages. The modeled system has been simulated in MATLAB/SIMULINK® and the results have been attached.